From Sampling to Auto-Tune: Intergenerational Divergence in R&B Vocal Production and Audience Acceptance
Clicks: 1
ID: 312689
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #354 of 705 articles by views in Journal of Computing & Biomedical Informatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This article examines the relationship among technological progress in R&B music production (e.g., sampling technology, Auto-Tune usage) and intergenerational audience acceptance patterns. Applying a mixed-methods design that combines quantitative audience surveys (N=847) across four generational cohorts (Baby Boomers, Generation X, Millennials, Generation Z) with acoustic analysis of 240 R&B songs spanning 1980-2023, we explore how vocal rhythm design evolved in conjunction with these technologies, and how different age groups react to such changes. The findings reveal notable age-based differences in acceptance, with more favorable audience (Gen Z: 78.4% acceptance) opinion towards Auto-Tune usage on music recordings when compared to older generations (Baby Boomer: 31.2% acceptance). Sampling technology has more intergenerational playability (64.7% overall playability) than Auto-Tune (52.3% overall playability). The research demonstrates that the patterns of acceptance are closely influenced by perceptions of technological authenticity, the length of exposure, as well as by cultural context. This extends previous research on how production technologies, when applied to genres, create new subgenres and specific audience segments in the context of contemporary R&B music.
| Reference Key |
imported_1777056056_69ebb93831574
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Hyuntai Kim |
| Journal | Journal of Computing & Biomedical Informatics |
| Year | 2025 |
| DOI |
10.56979/1001/2025/1166
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.